Overview:
Lead Data Scientist
Location - Denver , CO
Your Role
We are seeking a highly experienced Senior AI Architect / Lead Engineer to lead the design, architecture, and development of next-generation AI-powered Customer Experience (CX) platforms. This role is ideal for a hands-on technology leader who combines deep expertise in Agentic AI, Generative AI, Large Language Models (LLMs), and Google Cloud AI services with a strong background in customer engagement and contact center solutions.
The successful candidate will drive the technical vision and implementation of intelligent, autonomous customer experience platforms leveraging multi-agent systems, Retrieval-Augmented Generation (RAG), workflow automation, and Google Cloud AI technologies. This individual must be equally comfortable defining enterprise architecture, mentoring engineering teams, and writing production-grade code.
Key Responsibilities
• Define and execute the architecture strategy for AI-powered CX and contact center solutions.
• Design, build, and deploy Agentic AI systems using autonomous agents, multi-agent collaboration, and workflow orchestration frameworks.
• Develop intelligent conversational and task-oriented experiences leveraging LLMs and Generative AI technologies.
• Architect scalable and secure AI solutions on Google Cloud Platform (GCP).
• Build and optimize RAG pipelines for enterprise knowledge retrieval and contextual AI interactions.
• Design agent workflows incorporating tool usage, API integrations, function calling, and orchestration capabilities.
• Lead the implementation of cloud-native microservices and event-driven architectures.
• Collaborate with business, CX, product, and engineering stakeholders.
• Establish AI architecture standards, development best practices, governance, and security controls.
• Mentor engineers and architects while providing technical leadership
Skill and Experience
Agentic AI & Generative AI
• Multi-agent systems and autonomous AI agents
• LangChain
• LlamaIndex
• Semantic Kernel
• CrewAI
• AutoGen
• Vertex AI Agent Builder
• Tool-calling agents and workflow automation
• Retrieval-Augmented Generation (RAG)
• Prompt engineering
• AI evaluation and governance
Large Language Models
• Google Gemini models
• PaLM models
• Enterprise LLM integration patterns
Google Cloud AI & Platform Expertise
• Vertex AI (Gemini/PaLM)
• Vertex AI Agent Builder
• Dialogflow CX
• BigQuery
• Pub/Sub
• Cloud Run
• Google Kubernetes Engine (GKE)
• Cloud Functions
Required Qualifications
• 10+ years of software engineering, cloud architecture, or enterprise solution design experience
• 5+ years of AI/ML or Generative AI experience
• Proven experience delivering enterprise-scale AI applications on Google Cloud
• Strong Python development skills
• Leadership and mentoring experience
What We're Looking For
Strong Agentic AI expertise
Deep GenAI, LLM, and RAG experience
Extensive Google Cloud and Vertex AI experience
Customer Experience / Contact Center domain expertise
Hands-on architect who still codes
Strong system design and microservices architecture skills
Proven leadership and mentoring experience
Skills:
Data Scientist
